The impact of smart city pilots on corporate total factor productivity

Chen, Pengyu

doi:10.1007/s11356-022-21681-1

Cited by 21 publications

(10 citation statements)

References 86 publications

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“…The result on the threshold relationship between public health expenditure and TFP growth via a dynamic panel threshold regression analysis is presented in online supplemental table 3 . With the basis provided by the model, as seen in the work of Chen, 42 the threshold regression was performed in line with the model by Adebayo et al . 43 The result of the threshold as estimated shows the threshold level of public health expenditure that maximises TFP to be 1.1%.…”

Section: Resultsmentioning

confidence: 99%

Health and total factor productivity nexus in selected sub-Saharan African countries: quadratic and threshold modelling

2023

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ObjectivesThe sub-Saharan African (SSA) countries have been recording a decline in total factor productivity (TFP) growth, inadequate health funding and poor health outcomes are regarded as problems that might have impeded productivity in the region. This study therefore aligns with Grossman’s theory that better health could be instrumental to productivity growth. In this paper, we establish a predictive TFP model that accommodates the roles of health, which has been omitted in prior studies. To corroborate our findings we examine the threshold relationship between health and TFP.MethodsThe study employs the fixed and random effect model, panel two-stage least squares, static and dynamic panel threshold regression model on a balanced panel data of 25 selected SSA countries from 1995 to 2020 as the estimating technique for the linear relationship and the non-linear relationship between health and TFP.ResultsThe result of the analysis reveals a positive relationship between health expenditure and TFP, health expenditure per capita and TFP. Education and other non-health factors, like Information Communication Technology (ICT) and control of corruption equally have significant positive impact on TFP. The result further shows the existence of a threshold relationship between TFP and health at 3.5% level of public health expenditure. We also discover threshold relationship between TFP and some non-health variables like education and ICT at 2.56% and 21%, respectivelyConclusionsMore importantly, the study confirms health as a determinant of TFP and also validates the existence of a non-linear relationship between TFP and health. Overall, improvements in health and its proxies have implications for TFP growth in SSA. Therefore, the increase in public health expenditure stipulated in this study should be passed into law for optimal productivity growth rate.

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Section: Resultsmentioning

confidence: 99%

Health and total factor productivity nexus in selected sub-Saharan African countries: quadratic and threshold modelling

2023

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“…Second, the smart city construction will help promote technological progress, talent agglomeration, and resource allocation efficiency. And these all contribute to the improvement of total factor productivity of enterprises (Chen 2022). The increase in productivity for enterprises will undoubtedly help the energy saving and emissions reduction.…”

Section: Theoretical Analysis About Inhibitory Effect Of Smart City C...mentioning

confidence: 98%

Is smart city construction a new way for sustainable development in emerging countries? ——A "quasi-natural experiment" from China

Wang

Yang

Yuan

et al. 2023

Preprint

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Given that traditional urbanization presents developing countries with the predicament of how to achieve income increase and environmental protection at the same time, the significance of smart city construction to urban sustainable development is emerging. Based on the panel data of 259 cities in China, this paper analyzes the inhibitory effect of smart city construction on pollution intensity by combining TV-DID and spatial lag models. The research conclusions show that: (1) Overall, the pollution intensity of China showed a clear downward trend from 2011 to 2019. The areas with the most serious urban pollution intensity are mainly concentrated in Shanxi Province and the northeastern provinces. (2) Smart city construction can significantly promote the pollution intensity reduction in pilot cities; At the same time, the policy also has a negative spatial spillover effect, which can promote the pollution intensity reduction of adjacent areas. Moreover, the conclusion is still robust after testing by PSM-DID, instrumental variable method, placebo test and other methods. (3) Mechanism analysis shows that smart city construction promotes the pollution intensity reduction indirectly through industrial structure upgrading. (4) The heterogeneity analysis shows that smart city construction can more effectively promote the pollution intensity reduction in China’s western cities.

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“…Digital transformation can accelerate the flow of information, knowledge (Hao and Zhang, 2021). On one hand, senior digital technologies can convert data into digital resources in symbolic formats for communication; on the other hand, digital technologies can reduce the cost of storing knowledge (Gomber et al, 2018;Chen, 2022). Technical staff are one of the key factors influencing innovation in firms, which is rarely considered in existing researches on digital transformation.…”

Section: Digital Transformation Disrupts Perceptionsmentioning

confidence: 99%

“…As a new industrial reform, digital transformation is seen as an important stage in achieving corporate sustainability (Kamble et al, 2018;Feroz et al, 2021). According to the Global Environmental Performance Report published by Yale University in 2020 (Chen, 2022), China ranked 120th in terms of environmental performance in the world (out of 180 countries) with a score of 37.3. As one main emitter of pollution, China attaches great importance to the environmental management ability of Chinese enterprises.…”

Section: Introductionmentioning

confidence: 99%

The impact of digital transformation on corporate sustainability- new evidence from Chinese listed companies

Zhang

Chen

2022

Front. Environ. Sci.

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As Industry 4.0 is seen as the core industrial stage for achieving sustainable development, more and more scholars are exploring the practical effects of Industry 4.0. This paper evaluates the impact of digital transformation on business sustainability, explores whether digital transformation breaks down perceptions, and examines the mechanisms by which it works. First, we measured the digital transformation of each firm using textual analysis. and found that the coefficient of digital transformation is 0.006 on corporate sustainability at the 1% significant level. Secondly, we found that digital transformation eases knowledge flow barriers and makes knowledge more accessible to firms. Firms with higher digital transformation attract more skilled people, which can create talent barriers. Digital transformation can exacerbate firms’ industry monopolies, while increasing the proportion of boardroom women and the inclusion of older members sends positive signals to outsiders. Finally, we find that low costs, high labor productivity, high innovation and low cost of sales are important channels for digital transformation. In addition, digital transformation increases the management costs of firms.

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The impact of smart city pilots on corporate total factor productivity

Cited by 21 publications

References 86 publications

Health and total factor productivity nexus in selected sub-Saharan African countries: quadratic and threshold modelling

Health and total factor productivity nexus in selected sub-Saharan African countries: quadratic and threshold modelling

Is smart city construction a new way for sustainable development in emerging countries? ——A "quasi-natural experiment" from China

The impact of digital transformation on corporate sustainability- new evidence from Chinese listed companies

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